Artificial Intelligence-based COVID-19 Radiology Image Analytics and Beyond

The excessive daily requirement for COVID-19 tests has put the healthcare providers in an overwhelming circumstance, especially in rural communities, with a limited number of resources. Moreover, the existing COVID-19 screening technique is time-consuming and expensive, which can be a luxury for many communities. Thus, in this research project, in collaboration with the TBRHRI, we […]

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Reinforcement learning for eco-efficient comminution circuit characterization

Comminution, the process of crushing and grinding rock to a reduced size as part of the process of liberating valuable minerals, has been reported to be responsible for up to 4% of the world energy consumption [Environment and Climate Change Canada, 2017]. Designing for reduced carbon footprint and energy consumption is possible. Several study cases […]

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Radiation Mapping from Aerial Data

The proposed project is focused on the development of software for accurate mapping of radiation levels on the ground using aircraft or unmanned aerial vehicles (UAV) for data collection. The problem of accurate radiation mapping is crucial for handling emergency radiological incidents (e.g., on nuclear plants), monitoring national borders, operating nuclear mine sites, etc. The […]

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COVID19 viral genome sequence analysis to track viral transmission, to understand evolution of viral genome, to develop novel diagnostic tools as well as to identify novel therapeutic targets

A comprehensive genomic study for the virus SAR-Cov-2 itself and COVID-19 patient samples will be studies analyzed to understand the nature of the virus developments, and to find genomic biomarkers that helps in diagnosing and the treatment of the disease. We will try to understand the molecular network of the virus in the body and […]

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Ordonnancement et pilotage intelligents d’une cellule robotisée de soudage4.0

Bombardier Transport a développé, en collaboration avec différents partenaires, une cellule de soudage robotisée. Ce projet vise à systématiser et à automatiser la prise de décision pour le pilotage efficient de cet équipement. À terme, le projet permettra de maximiser le potentiel de la cellule et d’équipements comparables dans une perspective intégrée et agile propre […]

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A Principled Approach to Developing Machine Learning Models for the Synthesis of Structured Health Data

Under the current pandemic of Covid-19, sharing health record data has tremendous benefits to control the spread of the infection and save lives globally. In medical research and discovery, Electronic medical records (EMRs) play the essential role for medical discovery in two categories, namely 1) cross-sectional study and 2) longitudinal study. Cross-sectional study compares different […]

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A Systemization of Knowledge on the Dual Nature of Technology in Providing Support to Sexual Assault Survivors

In light of the COVID-19 pandemic, there has been an increase in sexual assault incidents. Research shows that when there are disasters and economic meltdowns, there is usually a spike in sexual assaults. The world is experiencing both a pandemic and economic downturn. With self-isolation, social distancing, and the stay-at-home orders, the use of technology […]

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GPU-Based Fast Fluids for Video Games

Animated fluid effects based on physical simulation have been a staple part of visual effects industry. They are characterized by offline simulation and rendering that produces high-fidelity dynamics and visuals. As the technology for computer games advances, the opportunity to create such effects in real-time as either a playback technique or dynamic simulation is becoming […]

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Koala Pro – Dossier intelligent

Conception et développement de 3 plateformes intégrées pour commercialisation dans l’intérêt d’augmenter la productivité des nutritionnistes au travers d’une prise de données accélérée, une analyse de données améliorant la précision de la note au dossier, une aide au diagnostic alimentaire pour améliorer l’intervention client-patient, et la création de statistiques professionnelles liées aux résultats des interventions. […]

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Advancing traceability in informal supply chains through applied AI and ML

PemPem develops tools to ensure product traceability in informal supply chains using AI. These informal supply chains employ over 60% of the working population worldwide. They typically have highly inefficient operations due to very limited access to information and a reliance on opaque word-of-mouth coordination. While PemPem has started solving the problem of collecting data […]

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Contextual portrait detection

A frequently occurring problem in face verification in Jumio is that stock face detectors find multiple faces in the input image. The decision which one should be selected for the face verification step is not clear. Common reasons being, users submitting a single image with both selfie and document id. There can be other people, […]

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Distributed Learning over Edge Computing to Support Covid-19 Modelling

The proposed research will allow any device to contribute its computing capabilities to the general distributed computer. Combined, these devices become a super-computer — providing resources for researchers and scientists in their quest for discovery. This research focuses on the finely calibrated aspects of scheduling slices of computing on this computing network. The intern will […]

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